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Urban planning and land use using spatiotemporal evolution information graph model

Author

Listed:
  • Man Li
  • You Xu
  • Juan Gao

Abstract

The purpose of this study was to use a spatiotemporal evolution information graph model to simulate and predict urban land use (abbreviated as LU for convenience) patterns and propose reasonable urban development plans. The calculation of LU pattern based on a fractal model calculated the fractal dimension and patch density of LU, analysed urban spatial structure and divided urban planning (abbreviated as UP for convenience) land into residential land, industrial land, commercial land, public land and green space. The dimensions of these five modules were experimentally analysed. From 2002 to 2012, the dimension D in residential underground spaces was 1.4861-1.5847; that of the industrial underground was 1.4027-1.4457; that of the commercial underground was 1.1231-1.3365; that of the public underground was 1.3149-1.3456; that of the green underground was 0.9567-1.1627. From 2012 to 2022, the dimension D of residential land, industrial land, commercial land, public land and green underground increased to 1.6127, 1.4527, 1.3985, 1.3524 and 1.3357. From the perspective of patch density, the order of change amplitude was residential land > industrial land > public land > commercial land > green land.

Suggested Citation

  • Man Li & You Xu & Juan Gao, 2025. "Urban planning and land use using spatiotemporal evolution information graph model," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 28(1), pages 90-105.
    • Handle: RePEc:ids:ijsusd:v:28:y:2025:i:1:p:90-105
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